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Habitat Suitability Analysis of Asian One Horned Rhinoceros in
Shuklaphanta National Park using habitat occupancy of
Chitwan National Park Using GIS
©amit2022
Asian One Horned Rhinoceros (Rhinoceros unicornis)
Presented by:
M.Sc. Batch (2078-80)
Amit Chaudhary (Roll No. 3)
Kushraj Gole (Roll No.15)
Prashant Rokka (Roll No. 23)
Chuman Thakur (Roll no 8)
Shushant Neupane (Roll no. 38)
Ujjawal Yadav (Roll No. 40)
23 May, 2023
Submitted to:
Jeetendra Gautam
Asst. Professor, Faculty of Forestry, AFU
TABLE OF CONTENT
• Introduction
• Objective
• Methodology
• Steps in GIS
• Results
• Inference
INTRODUCTION
• Rhinoceros unicornis, a mega-herbivore is adapted to a mosaic of tall grasslands and riverine forests
habitats, Sal forests, and alluvial floodplains (Thapa, et. al, 2014).
• In Nepal, its population is 752 with the maximum in the Chitwan NP (694), Bardiya NP (38), Parsa NP (3),
while in Shuklaphanta NP (17) as per the National Rhino Count 2021 (NTNC, 2021).
• Rhino population in Chitwan is the source population for most of these rhinos as per the DNPWC records,
translocation efforts had been made to Shuklaphanta National Park in the years 2000 (4) and 2017 (5)
rhinos had been translocated (DNPWC, 2021).
• Habitat Suitability Mapping using remote sensing is being used as vital tool for analysis of suitability using
multiple parameters for present habitat suitability study but also understanding dynamics in future
condition with changing climate and biological invasion also anthropogenic disturbances in the wildlife
habitat.
OBJECTIVE
• To analyze the habitat suitability of Rhinoceros unicornis in the Shuklaphanta
National Park.
APPLICATION OF GIS IN HABITAT SUITABILITY MODELLING
LULC
Map
Slope
Map
Aspect
Map
Elevation
Map
Field
Data/Literatur
e review
LULC
Suitability
Map
Slope
Suitabilit
y Map
Aspect
Suitabilit
y Map
Elevation
Suitability
Map
Suitability
Assignmen
t
Final
Suitability
Map
Overlay
STEPS:
1. Determine Causative/Influential factors
II. Download those factor's layers
III. Assign suitable risk category for each factors (Field data/ literature)
IV. Reclassify download layers according to step 3 (High-3; Medium-2;
Low-1)
V. Carry out fuzzy/weighted overlay for final composite map
VI. Calculate areas for HML layers and Interpret result
1. DETERMINE CAUSATIVE AND INFLUENTIAL FACTOR
• Literature Review
• Empirical Habitat Suitability Models analyze data on habitat use and habitat characteristics
collected at specific sites. While the process oriented Habitat Suitability Index model use
habitat requisite parameters such as food, cover, and proximity to water as input variables (Thapa,
et al., 2014).
• Pun, et al. (2022) had used Presence data, District boundary, PA Boundary, Settlement, Land use,
Water bodies, River bed, DEM, Slope, Aspect, Climate for Rhino habitat suitability.
Sarma, et. al.,
II. DOWNLOAD THE FACTORS’ LAYER
S.N. Layer Name Spatial
Resolution
Pixel Depth Spatial Data
type
Projection System Source
1. Presence Data (Rhino
location)
Point Shapefile WGS_1984_UTM_Z
one_45N
Field
Observation
2. CNP & ShNP
Boundary
Polygon
Shapefile
WGS_1984_UTM_Z
one_45N
Nepal
Administrative
Map
3. LULC 30m 8 bit
unsigned
Raster Lambert_Conforma
lConic_Survey_Nep
al
FRTC (2022)
4. DEM (Mahakali) 28.80 m 16 bit signed Raster WGS_1984_UTM_Z
one_45N
USGS Earth
Explorer
DEM (Narayani) 29.16 m 16 bit signed Raster WGS_1984_UTM_Z
one_45N
USGS Earth
Explorer
5. Slope Created from DEM
6. Aspect
III. ASSIGNING SUITABILITY CLASS FOR
EACH FACTORS
FINDING OUT SUITABILITY FROM FIELD DATA
• We had used the habitat use characteristics (location point) to reclassify
the other parameters into 3 Suitability classes: (High -3; Medium-2 and
Low-1).
• Based on empirical data of Chitwan National Park we calculate suitable
habitat area in the Shuklaphanta National Park.
1. Add Field Data (Location of Rhino);
DEM and Study Area Shape file
2. Clip DEM file to the Study
area
Tool Used: Clip (Data
Management)
Clipped DEM Result
3. Using DEM as input create Slope
Percent Raster
Tool Used: Slope (Spatial Analyst)
Resultant Slope Percent raster
4. Using DEM file as input create
Aspect Raster
Tool Used: Aspect (Spatial Analyst)
Resultant aspect file
5. Add LULC Raster >> Match
Projection with other layers
Tool Used: Project Raster (Data
Management)
6. Clip LULC Raster to the
Area of Interest
Tool Used: Clip (Data
Management)
RECLASSIFICATION
7. Reclassify: DEM, Slope, Aspect, and LULC raster.
Tool Used: Reclassify (Spatial Analyst)
Open Attribute table and calculate Statistics
for the DEM file to find break values for
Reclassification
And
Reclassify using arbitrary elevation classes.
Arbitrary Elevation Classes:
Class1= <260
Class II=260-410
Class III =>410
Reclassify Slope
Reclassify Aspect
Reclassify LULC
Creating Buffer layers: If point
(waterholes, settlements) / linear
features (roads, transmission line) are
present and reclassifying them as well.
Though such features were not used
in this practical.
Tool used: Multi ring Buffer (Analysis)
HABITAT USE BY RHINOCEROS
8. Extract Multi Values to Rhino Observed location points
Tool Used: Extract Multi Value to Points (Spatial Analyst)
Add Input Rasters and Rename them.
10. Extract rhino location point wit multi value
Too used: Table to excel
11. Open Excel file
Data classification using Pivot table
Count the pixel number in each classes of
variables studied
12. Assign suitability to each classes of variables
based on the habitat use (location data)
ranked as High Moderate and Low suitability
Assigned Suitability
HABITAT SUITABILITY OF RHINO IN
SHUKLAPHANTA NATIONAL PARK
13. Add DEM and LULC layer
15. Using DEM as input create Slope Percent Raster
for ShNP
Tool Used: Slope (Spatial Analyst)
14. Using DEM as input create Aspect Raster for
ShNP
Tool Used: Aspect (Spatial Analyst)
IV. RECLASSIFY VARIABLE LAYERS FOR SUITABILITY
16. Reclassify for Suitability
Tool Used: Reclassify (Data management)
V. OVERLAY FOR COMPOSITE MAP
17. FUZZY OVERLAY
TOOL USED: FUZZY OVERLAY (SPATIAL ANALYST)
• Combine fuzzy membership rasters data together, based on selected overlay
type
• Specifies the method used to combine two or more membership data.
• AND—The minimum of the fuzzy memberships from the input fuzzy rasters.
• OR—The maximum of the fuzzy memberships from the input rasters.
Add Input Rasters for
Fuzzy Overlay Analysis
Determine Overlay type
Result: Fuzzy Overlay (AND Type) Result: Fuzzy Overlay (OR Type)
17. WEIGHTED OVERLAY
TOOL USED: WEIGHTED OVERLAY (SPATIAL ANALYST)
Overlays several
suitability rasters using a
common measurement
scale and weights each
according to its
importance.
Result: Weighted Overlay
Using: LULC = 50%
Elevation = 25%
Aspect =15%
Slope =10%
VI. CALCULATE AREA AND INTERPRET RESULTS
Calculation of Area in Final Suitability Raster
Calculation of
Area in Final
Suitability
Raster.
REFERENCES
• Sarma, P. K., Mipun, B. S., Talukdar, B. K., Kumar, R., & Basumatary, A. K. (2011). Evaluation of habitat suitability for Rhino
(Rhinoceros unicornis) in Orang National Park using geo-spatial tools. International Scholarly Research Notices, 2011.
• Thapa, V., M.F. Acevedo & K.P. Limbu (2014). An analysis of the habitat of the Greater One-horned Rhinoceros Rhinoceros
unicornis (Mammalia: Perissodactyla: Rhinocerotidae) at the Chitwan National Park, Nepal. Journal of Threatened Taxa 6(10):
6313–6325; http://dx.doi.org/10.11609/JoTT.o3698.6313-25
• PUN, S., JOSHI, R., SUBEDI, R., BHATTARAI, S., & POUDEL, B. (2022). Geospatial Analysis of Habitat Suitability for Greater
One-horned Rhino Rhinoceros unicornis (Linnaeus, 1758) in Central lowlands of Nepal using MaxEnt Model . Borneo Journal
of Resource Science and Technology, 12(1), 166-176. https://doi.org/10.33736/bjrst.4422.2022
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Habitat suitability of One horned Rhinoceros using GIS.pptx

  • 1. Habitat Suitability Analysis of Asian One Horned Rhinoceros in Shuklaphanta National Park using habitat occupancy of Chitwan National Park Using GIS ©amit2022 Asian One Horned Rhinoceros (Rhinoceros unicornis) Presented by: M.Sc. Batch (2078-80) Amit Chaudhary (Roll No. 3) Kushraj Gole (Roll No.15) Prashant Rokka (Roll No. 23) Chuman Thakur (Roll no 8) Shushant Neupane (Roll no. 38) Ujjawal Yadav (Roll No. 40) 23 May, 2023 Submitted to: Jeetendra Gautam Asst. Professor, Faculty of Forestry, AFU
  • 2. TABLE OF CONTENT • Introduction • Objective • Methodology • Steps in GIS • Results • Inference
  • 3. INTRODUCTION • Rhinoceros unicornis, a mega-herbivore is adapted to a mosaic of tall grasslands and riverine forests habitats, Sal forests, and alluvial floodplains (Thapa, et. al, 2014). • In Nepal, its population is 752 with the maximum in the Chitwan NP (694), Bardiya NP (38), Parsa NP (3), while in Shuklaphanta NP (17) as per the National Rhino Count 2021 (NTNC, 2021). • Rhino population in Chitwan is the source population for most of these rhinos as per the DNPWC records, translocation efforts had been made to Shuklaphanta National Park in the years 2000 (4) and 2017 (5) rhinos had been translocated (DNPWC, 2021). • Habitat Suitability Mapping using remote sensing is being used as vital tool for analysis of suitability using multiple parameters for present habitat suitability study but also understanding dynamics in future condition with changing climate and biological invasion also anthropogenic disturbances in the wildlife habitat.
  • 4. OBJECTIVE • To analyze the habitat suitability of Rhinoceros unicornis in the Shuklaphanta National Park.
  • 5. APPLICATION OF GIS IN HABITAT SUITABILITY MODELLING LULC Map Slope Map Aspect Map Elevation Map Field Data/Literatur e review LULC Suitability Map Slope Suitabilit y Map Aspect Suitabilit y Map Elevation Suitability Map Suitability Assignmen t Final Suitability Map Overlay
  • 6. STEPS: 1. Determine Causative/Influential factors II. Download those factor's layers III. Assign suitable risk category for each factors (Field data/ literature) IV. Reclassify download layers according to step 3 (High-3; Medium-2; Low-1) V. Carry out fuzzy/weighted overlay for final composite map VI. Calculate areas for HML layers and Interpret result
  • 7. 1. DETERMINE CAUSATIVE AND INFLUENTIAL FACTOR • Literature Review • Empirical Habitat Suitability Models analyze data on habitat use and habitat characteristics collected at specific sites. While the process oriented Habitat Suitability Index model use habitat requisite parameters such as food, cover, and proximity to water as input variables (Thapa, et al., 2014). • Pun, et al. (2022) had used Presence data, District boundary, PA Boundary, Settlement, Land use, Water bodies, River bed, DEM, Slope, Aspect, Climate for Rhino habitat suitability. Sarma, et. al.,
  • 8. II. DOWNLOAD THE FACTORS’ LAYER S.N. Layer Name Spatial Resolution Pixel Depth Spatial Data type Projection System Source 1. Presence Data (Rhino location) Point Shapefile WGS_1984_UTM_Z one_45N Field Observation 2. CNP & ShNP Boundary Polygon Shapefile WGS_1984_UTM_Z one_45N Nepal Administrative Map 3. LULC 30m 8 bit unsigned Raster Lambert_Conforma lConic_Survey_Nep al FRTC (2022) 4. DEM (Mahakali) 28.80 m 16 bit signed Raster WGS_1984_UTM_Z one_45N USGS Earth Explorer DEM (Narayani) 29.16 m 16 bit signed Raster WGS_1984_UTM_Z one_45N USGS Earth Explorer 5. Slope Created from DEM 6. Aspect
  • 9. III. ASSIGNING SUITABILITY CLASS FOR EACH FACTORS
  • 10. FINDING OUT SUITABILITY FROM FIELD DATA • We had used the habitat use characteristics (location point) to reclassify the other parameters into 3 Suitability classes: (High -3; Medium-2 and Low-1). • Based on empirical data of Chitwan National Park we calculate suitable habitat area in the Shuklaphanta National Park.
  • 11. 1. Add Field Data (Location of Rhino); DEM and Study Area Shape file 2. Clip DEM file to the Study area Tool Used: Clip (Data Management)
  • 13. 3. Using DEM as input create Slope Percent Raster Tool Used: Slope (Spatial Analyst) Resultant Slope Percent raster
  • 14. 4. Using DEM file as input create Aspect Raster Tool Used: Aspect (Spatial Analyst) Resultant aspect file
  • 15. 5. Add LULC Raster >> Match Projection with other layers Tool Used: Project Raster (Data Management) 6. Clip LULC Raster to the Area of Interest Tool Used: Clip (Data Management)
  • 17. 7. Reclassify: DEM, Slope, Aspect, and LULC raster. Tool Used: Reclassify (Spatial Analyst)
  • 18. Open Attribute table and calculate Statistics for the DEM file to find break values for Reclassification And Reclassify using arbitrary elevation classes. Arbitrary Elevation Classes: Class1= <260 Class II=260-410 Class III =>410
  • 22. Creating Buffer layers: If point (waterholes, settlements) / linear features (roads, transmission line) are present and reclassifying them as well. Though such features were not used in this practical. Tool used: Multi ring Buffer (Analysis)
  • 23. HABITAT USE BY RHINOCEROS
  • 24. 8. Extract Multi Values to Rhino Observed location points Tool Used: Extract Multi Value to Points (Spatial Analyst)
  • 25. Add Input Rasters and Rename them.
  • 26.
  • 27. 10. Extract rhino location point wit multi value Too used: Table to excel
  • 28. 11. Open Excel file Data classification using Pivot table
  • 29. Count the pixel number in each classes of variables studied
  • 30. 12. Assign suitability to each classes of variables based on the habitat use (location data) ranked as High Moderate and Low suitability
  • 32. HABITAT SUITABILITY OF RHINO IN SHUKLAPHANTA NATIONAL PARK
  • 33. 13. Add DEM and LULC layer
  • 34. 15. Using DEM as input create Slope Percent Raster for ShNP Tool Used: Slope (Spatial Analyst) 14. Using DEM as input create Aspect Raster for ShNP Tool Used: Aspect (Spatial Analyst)
  • 35. IV. RECLASSIFY VARIABLE LAYERS FOR SUITABILITY
  • 36. 16. Reclassify for Suitability Tool Used: Reclassify (Data management)
  • 37. V. OVERLAY FOR COMPOSITE MAP
  • 38. 17. FUZZY OVERLAY TOOL USED: FUZZY OVERLAY (SPATIAL ANALYST) • Combine fuzzy membership rasters data together, based on selected overlay type • Specifies the method used to combine two or more membership data. • AND—The minimum of the fuzzy memberships from the input fuzzy rasters. • OR—The maximum of the fuzzy memberships from the input rasters.
  • 39. Add Input Rasters for Fuzzy Overlay Analysis Determine Overlay type
  • 40. Result: Fuzzy Overlay (AND Type) Result: Fuzzy Overlay (OR Type)
  • 41. 17. WEIGHTED OVERLAY TOOL USED: WEIGHTED OVERLAY (SPATIAL ANALYST) Overlays several suitability rasters using a common measurement scale and weights each according to its importance.
  • 42. Result: Weighted Overlay Using: LULC = 50% Elevation = 25% Aspect =15% Slope =10%
  • 43. VI. CALCULATE AREA AND INTERPRET RESULTS
  • 44. Calculation of Area in Final Suitability Raster
  • 45. Calculation of Area in Final Suitability Raster.
  • 46.
  • 47. REFERENCES • Sarma, P. K., Mipun, B. S., Talukdar, B. K., Kumar, R., & Basumatary, A. K. (2011). Evaluation of habitat suitability for Rhino (Rhinoceros unicornis) in Orang National Park using geo-spatial tools. International Scholarly Research Notices, 2011. • Thapa, V., M.F. Acevedo & K.P. Limbu (2014). An analysis of the habitat of the Greater One-horned Rhinoceros Rhinoceros unicornis (Mammalia: Perissodactyla: Rhinocerotidae) at the Chitwan National Park, Nepal. Journal of Threatened Taxa 6(10): 6313–6325; http://dx.doi.org/10.11609/JoTT.o3698.6313-25 • PUN, S., JOSHI, R., SUBEDI, R., BHATTARAI, S., & POUDEL, B. (2022). Geospatial Analysis of Habitat Suitability for Greater One-horned Rhino Rhinoceros unicornis (Linnaeus, 1758) in Central lowlands of Nepal using MaxEnt Model . Borneo Journal of Resource Science and Technology, 12(1), 166-176. https://doi.org/10.33736/bjrst.4422.2022